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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Band Assignment Approaches for Hyperspectral Sharpening
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Band Assignment Approaches for Hyperspectral Sharpening

机译：高光谱锐化的频段分配方法

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摘要

Classical pansharpening algorithms constitute a class of image fusion methods that have been widely investigated in the literature. They have been developed for combining a single- and a multichannel image (panchromatic (PAN) and multispectral (MS), respectively), but can be adapted to the sharpening of hyperspectral (HS) data, both through companion PAN and MS images. We focus in this letter on the HS/MS fusion, showing that the assignation of the MS channel to each HS band is a key step, and investigate several alternatives to make this choice. The assignment algorithms are tested in conjunction with both component substitution and multiresolution analysis pansharpening methods and assessed on images acquired by the Hyperion and ALI sensors. The numerical evaluation shows that the best results can be obtained by optimizing the spectral angle mapper metric confirming that classical methods represent a reliable basis for the development of novel sharpening algorithms.
机译：经典的全锐化算法构成了一类图像融合方法，在文献中已对此进行了广泛研究。它们已开发用于组合单通道图像和多通道图像（分别为全色（PAN）和多光谱（MS）），但可以通过伴侣PAN和MS图像适应于高光谱（HS）数据的锐化。我们在这封信中重点介绍了HS / MS融合，表明将MS信道分配给每个HS频段是关键的一步，并研究了几种选择方案来进行此选择。将分配算法与组件替换和多分辨率分析全貌方法结合起来进行测试，并对Hyperion和ALI传感器获取的图像进行评估。数值评估表明，可以通过优化光谱角度映射器度量来获得最佳结果，从而确认经典方法代表了开发新型锐化算法的可靠基础。

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